Knowledge representation and diagnostic inference using Bayesian networks in the medical discourse.
Sebastian FlüggeSandra ZimmerUwe PetersohnPublished in: CoRR (2019)
Keyphrases
- bayesian networks
- knowledge representation
- probabilistic reasoning
- diagnostic reasoning
- medical diagnosis
- diagnostic imaging
- diagnostic systems
- expert systems
- inference in bayesian networks
- medical diagnostic
- probabilistic inference
- diagnostic tests
- exact inference
- natural language
- disease diagnosis
- structure learning
- knowledge acquisition
- knowledge engineering
- multiply sectioned bayesian networks
- parameter learning
- dynamic bayesian networks
- bayesian network inference
- expert knowledge
- representing knowledge
- inference engine
- semantic web
- natural language processing
- probability distribution
- artificial intelligence
- automated reasoning
- diagnostic process
- probabilistic modeling
- conditional independence
- machine learning
- knowledge base
- probabilistic model
- natural language understanding
- medical knowledge
- description logics
- clique tree
- graphical models
- incomplete data
- conditional probability tables
- first order logic
- conditional probabilities
- influence diagrams
- junction tree
- medical domain
- approximate inference
- knowledge structures
- knowledge based systems
- medical experts
- inference process
- knowledge building
- credal networks
- medical data